1 Introduction

2 Description of the dataset

The underlying dataset for this investigation was taken from the website “Inside Airbnb - Adding data to the debate” (Cox 2017). This in an independent and non-commercial project aimed to examine the effect of Airbnb listings on urban development.

The initial dataset contained data, which was scraped from Airbnb on the 4th and 5th of March 2017. It contained 95 variables and 53.904 objects.

3 Mapping

## OGR data source with driver: ESRI Shapefile 
## Source: "map_data", layer: "london_sport"
## with 33 features
## It has 4 fields
## Integer64 fields read as strings:  Pop_2001
## Regions defined for each Polygons

Bibliography

Cox, Murray. 2017. “Inside Airbnb - Adding Data to the Debate.” http://data.insideairbnb.com/united-kingdom/england/london/2017-03-04/data/listings.csv.gz.

Imperial College Business School